Image Denoising Method in Non-subsampled Bandelets Domain
Tao Zhang, Ming Hai Cui, Ruihua Liu · Jisuanji gongcheng · 2010
【Abstract】According to the Gibbs effects of Bandelets transform denoising method, an image denoising method in non-subsampled Bandelets domain is proposed. It utilizes Bayes shrinking algorithm to estimate the noise mean square level by level. Experiment on image denoising shows that compared with Bandelets transform method, this method avoids information loss in discontinuous point and image non-stabilization caused by down sampling. It improves image edge preserving and peak signal-noise-ratio. 【Key words】multiscale geometric analysis; non-subsampled Bandelet transform; Bayes shrinking; image denoising